fancyzhx/amazon_polarity
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How to use AdapterHub/xlm-roberta-base-lora-lm-amazon-polarity with Adapters:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("google-t5/t5-base")
model.load_adapter("AdapterHub/xlm-roberta-base-lora-lm-amazon-polarity", set_active=True)lenglaender/xlm-roberta-base-lora-lm-amazon-polarity for google-t5/t5-base
An adapter for the google-t5/t5-base model that was trained on the amazon_polarity dataset and includes a prediction head for seq2seq lm.
This adapter was created for usage with the Adapters library.
First, install adapters:
pip install -U adapters
Now, the adapter can be loaded and activated like this:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("google-t5/t5-base")
adapter_name = model.load_adapter("AdapterHub/xlm-roberta-base-lora-lm-amazon-polarity", source="hf", set_active=True)
LoRA has r=8 and alpha=8